pycorrfit 0.8.3

Scientific tool for fitting correlation curves on a logarithmic plot.

PyCorrFit can be used for fitting any data on a semi-log plot. The program focusses on Fluorescence Correlation Spectroscopy (FCS) and comes with a couple of features that are crucial for FCS data analysis:

• Averaging of curves

• Background correction

• Batch processing

• Overlay tool to identify outliers

• Fast simulation of model parameter behavior

• Session management

• User-defined model functions

• High quality plot export using LaTeX (bitmap or vector graphics)

For a full list of features and supported file formats visit http://pycorrfit.craban.de. There are also precompiled binaries for various systems.

This package provides the Python module pycorrfit and its graphical user interface. The graphical user interface is written with wxPython. A HowTo for the installation of the latest version of PyCorrFit using pip can be found there:

https://github.com/paulmueller/PyCorrFit/wiki/Installation_pip

Further reading: - Latest downloads: https://github.com/paulmueller/PyCorrFit/releases - Documentation: https://github.com/paulmueller/PyCorrFit/raw/master/PyCorrFit_doc.pdf - Write model functions: https://github.com/paulmueller/PyCorrFit/wiki/Writing-model-functions - Need help? https://github.com/paulmueller/PyCorrFit/wiki/Creating-a-new-issue